Software Engineer – AI Platform New York City | Private Credit
$150,000–$200,000 year
On-siteNew York City, New York, United States or New York, United States
New York City, New York, United States or New York, United StatesOn-siteFull Time$150,000–$200,000 yearStartup
Full TimeStartup
Job Summary
Design, build, and deploy production AI systems for investment memoranda, due diligence automation, and retrieval across complex legal documents. Develop AI agents, reusable skills, and workflow automation that support the investment lifecycle, ensuring traceability and accuracy in AI-generated content. Collaborate directly with investment professionals, investor relations, and operations teams to transform manual workflows into scalable, transparent solutions. Own projects from architecture through production support while shaping the firm's AI platform direction.
Required Qualifications
- 3–5 years of professional software engineering experience
- Strong programming experience in one or more of the following: Python, TypeScript / JavaScript, Go, Rust
- Experience building production AI applications using technologies such as: AI Agents, Retrieval-Augmented Generation (RAG), Vector Search, Prompt & Context Engineering, Evaluation Frameworks (Evals)
- Daily experience using AI-assisted development tools such as: Claude Code, Cursor, Codex, GitHub Copilot, or similar AI-native development environments
- Demonstrated success independently designing, building, deploying, and supporting production software
- A builder's mindset with a passion for solving difficult technical problems and delivering high-quality software
- Strong verbal and written communication skills with the ability to work directly with senior business stakeholders
- Excellent analytical, organizational, and problem-solving skills
- Applicants must be legally authorized to work in the United States on a full-time basis
- Sponsorship or transfer of employment visas are not available for this position
Desired Qualifications
- Experience in one or more of the following areas is highly desirable: Document-intensive or highly regulated industries, Financial Services, Private Credit, Banking or Capital Markets, Asset Management, Investment Banking
- Vector databases (Qdrant, Pinecone, Weaviate, or similar)
- PDF and document parsing
- Anthropic or OpenAI APIs
- Agent SDKs
- Model Context Protocol (MCP)
- Programmatic document generation (DOCX/PPTX)
- Open-source software development
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